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A smart fruit spoilage detection system that combines advanced gas sensing with deep learning for real-time monitoring and automated decision-making and enabling low-latency, real-time inference in IoT environments is presented.
This work proposes a role-based access control protocol that restricts unauthorized access to the Ethereum blockchain and enforces rules for data usage, and incorporates a two-level machine learning-based Intrusion Detection System (IDS), which outperforms existing methods in both detection accuracy and security.
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